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Has anyone implemented an information system used to assess/predict graduation rates by different cohort groupings based on Cooperative Institutional Research Program "CIRP" criteria ("characteristics of the incoming first-year class"...) in combination with some additional predictive indicators pulled from the college/university student information system?
 
If so, I would be very appreciative of anyone willing and able to share what they may have done in this regard and how they went about it.
 
NOTE:  We have systems in place like DegreeWorks already for academic advising, academic planning, etc.
 
Thanks!
 
 
-P
 

Patrick Laughran | Chief Information Officer | Information Technology Services | 508/626-4048 w 508/626-4947 (fax) | Framingham State University | 100 State Street w PO Box 9101 w Framingham, MA  01701-9101  <?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" />

********** Participation and subscription information for this EDUCAUSE Constituent Group discussion list can be found at http://www.educause.edu/groups/.

Comments

Patrick, Please share any results. I’m asking my IR folks if they’ve seen anything like that. Best, Rob

 

Dr. Robert Paterson

Vice President, Information Technology, Planning & Research

Molloy College

Rockville Centre, NY 11571

516-678-5000 ex 6443

 

Will do Rob.
 
Regards,
 
 
-P
 

Patrick Laughran | Chief Information Officer | Information Technology Services | 508/626-4048 w 508/626-4947 (fax) | Framingham State University | 100 State Street w PO Box 9101 w Framingham, MA  01701-9101  <?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" />

 

I’m not sure you need a special information system with this functionality to get the job done.  It seems to me you have the following:

 

1.       Data from two sources, the CIRP and your SIS.

2.       Merge data into a common data file.

3.       Run a statistical analysis, such as Factor Analysis in SPSS (or some other statistics program)

 

Step two can be done with various desktop apps, including Cognos, SPSS, or probably even Excel.  The issue is whether you have a common data element (SSN, Student number, or something else) to use in merging the data files.  I don’t know what data is available in CIRP to match on, but if this is a problem it is a data problem, not an information system problem.

 

Tom Franke

University System of New Hampshire

 

Tom, yes I agree and thank you for the opportunity to further clarify what exactly I’m asking for.  I don’t think I articulated my request for information as well as I could have.  Additional software may or may not be needed in our case.  Additional data may or may not need to be captured. 

 

What I’m actually most interested in is the method more than the means:

 

1.        what data others may be using from their student information system, and then using in conjunction with CIRP (if any), as predictive indicators for the purpose of estimating graduation rates by different cohorts – and…

2.       the corresponding weighting given to the different predictive indicators used to make these estimates from the student information and CIRP data

 

I’m hoping someone may have worked with Institutional Research and/or perhaps other parts of their organization to formulate something that seems to work reasonably well for them – and are willing to let Framingham State borrow from and perhaps modify.

 

Of course, I would also be interested in the supporting information system(s) or discrete applications used to capture, store, process all this and then generate reports.  But as you illustrate we could probably figure that part out. 

 

If anyone has anything to share in this regard I will be sure to follow-up and distribute a consolidated summary of whatever response I get!

 

Thanks in advance – and hoping I clarified my request for information sufficiently...

 

Regards,

 

 

-P

Patrick Laughran | Chief Information Officer | Information Technology Services | 508/626-4048 w 508/626-4947 (fax) | Framingham State University | 100 State Street w PO Box 9101 w Framingham, MA  01701-9101 

 

Patrick,

My apologies for the long delay in replying but I missed this when it came in due to a vacation and just noticed in searching for other past emails.

Although it is not a directly match to the work you are describing below, I am leading a Next Generation Learning Challenges grant called the Open Academic Analytics Initiative (OAAI) which is similar in nature and thus I thought you might be interested in what we are working on.  I'm including a brief description below and you can get a lot more details on the Sakai Confluence Wiki where we've been posting and sharing our work.  You can access that site at: https://confluence.sakaiproject.org/x/8aWCB

If you have questions I'd be happy to answer them off list.  We plan to publish more of our initial findings in the fall.

Josh


Project Overview
The Open Academic Analytics Initiative (OAAI), funded under a Wave I Next Generation Learning Challenges grant, is building on Purdue University’s ground-breaking Course Signals project with the goal of improving our understand how to scale analytics across institutions of higher education.  More specifically, OAAI is engaged in the development of an “open ecosystem” for learner analytics that includes the Sakai Collaboration and Learning Environment, Pentaho open-source business intelligence suite, an open predictive model and intervention strategies that leverage Open Educational Resources (OER). In addition, OAAI is conducting research on the “portability” of predictive models between institutions as well as the effectiveness of engaging student in online academic support communities as means to improve academic success.

-----------------------------
Joshua Baron
Senior Academic Technology Officer
Marist College
Poughkeepsie, New York  12601
(845) 575-3623 (work)
Twitter: JoshBaron



From:        Patrick Laughran <plaughran@FRAMINGHAM.EDU>
To:        CIO@LISTSERV.EDUCAUSE.EDU,
Date:        07/09/2012 03:12 PM
Subject:        [CIO] Predicting Graduation Rates by Different Cohort Groupings
Sent by:        The EDUCAUSE CIO Constituent Group Listserv <CIO@LISTSERV.EDUCAUSE.EDU>



Has anyone implemented an information system used to assess/predict graduation rates by different cohort groupings based on Cooperative Institutional Research Program "CIRP" criteria ("characteristics of the incoming first-year class"...) in combination with some additional predictive indicators pulled from the college/university student information system?
 
If so, I would be very appreciative of anyone willing and able to share what they may have done in this regard and how they went about it.
 
NOTE:  We have systems in place like DegreeWorks already for academic advising, academic planning, etc.
 
Thanks!
 
 
-P
 
Patrick Laughran | Chief Information Officer | Information Technology Services | 508/626-4048 w 508/626-4947 (fax) | Framingham State University | 100 State Street w PO Box 9101 w Framingham, MA  01701-9101  

********** Participation and subscription information for this EDUCAUSE Constituent Group discussion list can be found at http://www.educause.edu/groups/.